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Distributed information-based optimal sub-data selection algorithm for big data logistic regression.

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Title: Distributed information-based optimal sub-data selection algorithm for big data logistic regression.
Authors: Wan, Xiangxin1 (AUTHOR), Liu, Yanyan1 (AUTHOR), Ye, Xin2 (AUTHOR) yexin_stat@whu.edu.cn
Source: Communications in Statistics: Simulation & Computation. 2026, Vol. 55 Issue 6, p2242-2260. 19p.
Database: Business Source Ultimate
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  Data: <searchLink fieldCode="AR" term="%22Wan%2C+Xiangxin%22">Wan, Xiangxin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yanyan%22">Liu, Yanyan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ye%2C+Xin%22">Ye, Xin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> yexin_stat@whu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Communications+in+Statistics%3A+Simulation+%26+Computation%22">Communications in Statistics: Simulation & Computation</searchLink>. 2026, Vol. 55 Issue 6, p2242-2260. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=194842886
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/03610918.2025.2464072
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 2242
    Titles:
      – TitleFull: Distributed information-based optimal sub-data selection algorithm for big data logistic regression.
        Type: main
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          Name:
            NameFull: Wan, Xiangxin
      – PersonEntity:
          Name:
            NameFull: Liu, Yanyan
      – PersonEntity:
          Name:
            NameFull: Ye, Xin
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          Dates:
            – D: 01
              M: 06
              Text: 2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 03610918
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              Value: 55
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Communications in Statistics: Simulation & Computation
              Type: main
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